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Mitochondrial interactome quantitation reveals structural changes in metabolic machinery in the failing murine heart

ABSTRACT: Advancements in cross-linking mass spectrometry (XL-MS) for structural analysis of proteins bridge the gap between purified systems and native tissue environments. Here, isobaric quantitative protein interaction reporter technology (iqPIR) was utilized to further extend XL-MS to the first system-wide comparative study of mitochondrial proteins from healthy and diseased murine hearts. The failing heart interactome includes 588 statistically significant cross-linked peptide pairs altered in the disease condition. Structural insight into ketone-oxidation metabolons, OXPHOS machinery, and nucleotide transporter hybrid-conformations support mitochondrial remodeling in failing hearts while bringing forth new hypotheses for pathological mechanisms. The application of quantitative cross-linking technology in tissue provides molecular-level insight into complex biological systems challenging to model in cell culture, thus providing a valuable resource for studying human diseases.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Heart

SUBMITTER: Xiaoting Tang

LAB HEAD: James E Bruce

PROVIDER: PXD035622 | Pride | 2022-08-02

REPOSITORIES: Pride

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			Action	DRS
	040522_0316_7_sham_2h_1.index	Other
	040522_0316_7_sham_2h_1.raw	Raw
	040522_0316_7_sham_2h_2.index	Other
	040522_0316_7_sham_2h_2.raw	Raw
	040522_0317_11_Tac_2h_1.index	Other

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Project description:Mechanical unloading by ventricular assist devices (VAD) leads to significant gene-expression changes often summarized as reverse remodeling. However, little is known on individual transcriptome changes during VAD-support and its relationship to non-failing hearts (NF). In addition no data are available for the transcriptome regulation during non-pulsatile VAD-support. Therefore we analysed the gene-expression patterns of 30 paired samples from VAD-supported (including 8 non-pulsatile VADs) and 8 non-failing control hearts (NF) using the first total human genome-array available. Transmural myocardial samples were collected for RNA-isolation. RNA was isolated by commercial methods and processed according to chip-manufacturer recommendations. cRNA were hybridized on Affymetrix HG-U133 Plus 2.0 arrays, providing coverage of the whole human genome Array. Data was analyzed using Microarray Analysis Suite 5.0 (Affymetrix) and clustered by Expressionist software (Genedata). 352 transcripts were differentially regulated between samples from VAD-implantation and NF, whereas 510 were significantly regulated between VAD-transplantation and NF (paired t-test p<0.001, fold change >=1.6). Remarkably, only a minor fraction of 111 transcripts was regulated in heart failure (HF) and during VAD-support. Unsupervised hierarchical clustering of paired VAD- and NF-samples revealed separation of HF- and NF- samples, however individual differentiation of VAD-implantation and VAD-transplantation was not accomplished. Clustering of pulsatile and non-pulsatile VAD did not lead to robust separation of gene expression patterns. During VAD-support myocardial gene expression changes do not indicate reversal of the HF-phenotype, but reveal a distinct HF-related pattern. Transcriptome analysis of pulsatile and non-pulsatile VAD-supported hearts did not provide evidence for a pump-mode specific transcriptome pattern. Microarrays were used to elucidate the differences between non-failing control hearts and those, suffering from end-stage heart failure pre and post mechanical unloading.

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Mitochondrial interactome quantitation reveals structural changes in metabolic machinery in the failing murine heart

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